82 citations as recorded by crossref.

1. Studies of the Aftermath of the Strong 2019 Raikoke Volcano Eruption in Central Kuril Islands Using Satellite Data V. Bondur & O. Voronova https://doi.org/10.1134/S0001433825700203
2. Absorbing aerosol variability over the Indian subcontinent and its increasing dependence on ENSO B. Abish & K. Mohanakumar https://doi.org/10.1016/j.gloplacha.2013.02.007
3. Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments V. Kayetha et al. https://doi.org/10.5194/amt-15-845-2022
4. Assessment of OMI near‐UV aerosol optical depth over Central and East Asia W. Zhang et al. https://doi.org/10.1002/2015JD024103
5. Constraining black carbon aerosol over Asia using OMI aerosol absorption optical depth and the adjoint of GEOS-Chem L. Zhang et al. https://doi.org/10.5194/acp-15-10281-2015
6. Primary Evaluation of the GCOM-C Aerosol Products at 380 nm Using Ground-Based Sky Radiometer Observations H. Hoque et al. https://doi.org/10.3390/rs12162661
7. Insight into global trends in aerosol composition from 2005 to 2015 inferred from the OMI Ultraviolet Aerosol Index M. Hammer et al. https://doi.org/10.5194/acp-18-8097-2018
8. In situ measurements of trace gases, PM, and aerosol optical properties during the 2017 NW US wildfire smoke event V. Selimovic et al. https://doi.org/10.5194/acp-19-3905-2019
9. Retrieving Aerosol Characteristics From the PACE Mission, Part 1: Ocean Color Instrument L. Remer et al. https://doi.org/10.3389/feart.2019.00152
10. Comparison of south-east Atlantic aerosol direct radiative effect over clouds from SCIAMACHY, POLDER and OMI–MODIS M. de Graaf et al. https://doi.org/10.5194/acp-20-6707-2020
11. Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign K. Junghenn Noyes et al. https://doi.org/10.3390/rs12223823
12. Light absorption of brown carbon aerosol in the PRD region of China J. Yuan et al. https://doi.org/10.5194/acp-16-1433-2016
13. AERONET-based models of smoke-dominated aerosol near source regions and transported over oceans, and implications for satellite retrievals of aerosol optical depth A. Sayer et al. https://doi.org/10.5194/acp-14-11493-2014
14. Chemistry of Atmospheric Brown Carbon A. Laskin et al. https://doi.org/10.1021/cr5006167
15. Molecular characterization of atmospheric organic aerosols: Contemporary applications of high-resolution mass spectrometry Q. Xie & A. Laskin https://doi.org/10.1016/j.trac.2024.117986
16. Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. https://doi.org/10.3389/frsen.2021.766628
17. Assessment of OMI near‐UV aerosol optical depth over land C. Ahn et al. https://doi.org/10.1002/2013JD020188
18. Interpreting the ultraviolet aerosol index observed with the OMI satellite instrument to understand absorption by organic aerosols: implications for atmospheric oxidation and direct radiative effects M. Hammer et al. https://doi.org/10.5194/acp-16-2507-2016
19. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. https://doi.org/10.1080/10643389.2019.1665944
20. Role of the Madden‐Julian Oscillation in the Transport of Smoke From Sumatra to the Malay Peninsula During Severe Non‐El Niño Haze Events S. Koplitz et al. https://doi.org/10.1029/2018JD028533
21. Wildfire Smoke Particle Properties and Evolution, from Space-Based Multi-Angle Imaging K. Junghenn Noyes et al. https://doi.org/10.3390/rs12050769
22. Discrimination of biomass burning smoke and clouds in MAIAC algorithm A. Lyapustin et al. https://doi.org/10.5194/acp-12-9679-2012
23. Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations X. Wang et al. https://doi.org/10.5194/acp-16-12733-2016
24. Stratospheric Injection of Massive Smoke Plume From Canadian Boreal Fires in 2017 as Seen by DSCOVR‐EPIC, CALIOP, and OMPS‐LP Observations O. Torres et al. https://doi.org/10.1029/2020JD032579
25. Single Scattering Albedo’s Spectral Dependence Effect on UV Irradiance I. Raptis et al. https://doi.org/10.3390/atmos9090364
26. Interpretation of FRESCO cloud retrievals in case of absorbing aerosol events P. Wang et al. https://doi.org/10.5194/acp-12-9057-2012
27. Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. https://doi.org/10.5194/acp-20-2031-2020
28. Aerosol Mass and Optical Properties, Smoke Influence on O3, and High NO3 Production Rates in a Western U.S. City Impacted by Wildfires V. Selimovic et al. https://doi.org/10.1029/2020JD032791
29. Absorbing Aerosol Effects on Hyperspectral Surface and Underwater UV Irradiances from OMI Measurements and Radiative Transfer Computations A. Vasilkov et al. https://doi.org/10.3390/rs17030562
30. Optical properties of carbonaceous aerosols and their radiative effects in arid and semi-arid regions of northwestern India A. Gupta & D. Bhattu https://doi.org/10.1016/j.atmosenv.2025.121694
31. A 12-year long global record of optical depth of absorbing aerosols above the clouds derived from the OMI/OMACA algorithm H. Jethva et al. https://doi.org/10.5194/amt-11-5837-2018
32. A multiparameter aerosol classification method and its application to retrievals from spaceborne polarimetry P. Russell et al. https://doi.org/10.1002/2013JD021411
33. Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC A. Lyapustin et al. https://doi.org/10.3389/frsen.2021.645794
34. Explicit Aerosol Correction of OMI Formaldehyde Retrievals Y. Jung et al. https://doi.org/10.1029/2019EA000702
35. Insights into the aging of biomass burning aerosol from satellite observations and 3D atmospheric modeling: evolution of the aerosol optical properties in Siberian wildfire plumes I. Konovalov et al. https://doi.org/10.5194/acp-21-357-2021
36. SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. https://doi.org/10.3390/rs13050844
37. Aerosol Absorption Over Land Derived From the Ultra-Violet Aerosol Index by Deep Learning J. Sun et al. https://doi.org/10.1109/JSTARS.2021.3108669
38. Multi-Angle Imager for Aerosols Y. Liu & D. Diner https://doi.org/10.1177/0033354916679983
39. Temporal and Spatial Variations of Satellite-Based Aerosol Optical Depths, Angstrom Exponent, Single Scattering Albedo, and Ultraviolet-Aerosol Index over Five Polluted and Less-Polluted Cities of Northern India: Impact of Urbanization and Climate Change R. Singh et al. https://doi.org/10.1007/s41810-022-00168-z
40. How to Measure the Amount of Aerosol Optical Thickness in the Atmosphere in a Simple Way: A Calitoo Handheld Sun-Photometer Measurement A. Bayat & A. Assarenayati https://doi.org/10.1016/j.atmosenv.2022.119570
41. An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations U. Jeong et al. https://doi.org/10.5194/acp-16-177-2016
42. Recent advances in understanding secondary organic aerosol: Implications for global climate forcing M. Shrivastava et al. https://doi.org/10.1002/2016RG000540
43. Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit C. Ahn et al. https://doi.org/10.1029/2020JD033651
44. Instantaneous Direct Radiative Effects of Aerosols in Cloud and Clear-sky Scenes from Space-borne observations M. Graaf et al. https://doi.org/10.1088/1755-1315/1522/1/012016
45. A Climatological Satellite Assessment of Absorbing Carbonaceous Aerosols on a Global Scale N. Hatzianastassiou et al. https://doi.org/10.3390/atmos10110671
46. In situ microphysics observations of intense pyroconvection from a large wildfire D. Kingsmill et al. https://doi.org/10.5194/acp-23-1-2023
47. Assessing the impact of pre-monsoon forest fires on air quality in the Central Himalayas using satellite observations and trajectory modelling N. Singh et al. https://doi.org/10.1080/01431161.2025.2572733
48. The role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observations J. Sun et al. https://doi.org/10.5194/amt-12-6319-2019
49. Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements S. Go et al. https://doi.org/10.1016/j.rse.2020.111759
50. Top-of-atmosphere radiative forcing affected by brown carbon in the upper troposphere Y. Zhang et al. https://doi.org/10.1038/ngeo2960
51. Impact of biomass burning on regional aerosol optical properties: A case study over northern India D. Shaik et al. https://doi.org/10.1016/j.jenvman.2019.04.025
52. Observational evidence of elevated smoke layers during crop residue burning season over Delhi: Potential implications on associated heterogeneous PM2.5 enhancements A. Mhawish et al. https://doi.org/10.1016/j.rse.2022.113167
53. A comparative evaluation of Aura-OMI and SKYNET near-UV single-scattering albedo products H. Jethva & O. Torres https://doi.org/10.5194/amt-12-6489-2019
54. The role of cloud contamination, aerosol layer height and aerosol model in the assessment of the OMI near-UV retrievals over the ocean S. Gassó & O. Torres https://doi.org/10.5194/amt-9-3031-2016
55. Increasing Wind Speeds Fuel the Wider Spreading of Pollution Caused by Fires over the IGP Region during the Indian Post-Monsoon Season V. Kumar et al. https://doi.org/10.3390/atmos13091525
56. Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis V. Buchard et al. https://doi.org/10.5194/acp-15-5743-2015
57. Aerosol absorption retrieval at ultraviolet wavelengths in a complex environment S. Kazadzis et al. https://doi.org/10.5194/amt-9-5997-2016
58. Evolution of the light-absorption properties of combustion brown carbon aerosols following reaction with nitrate radicals Z. Cheng et al. https://doi.org/10.1080/02786826.2020.1726867
59. Modelled and measured effects of clouds on UV Aerosol Indices on a local, regional, and global scale M. Penning de Vries & T. Wagner https://doi.org/10.5194/acp-11-12715-2011
60. The variability of biomass burning and its influence on regional aerosol properties during the wheat harvest season in North China L. Wang et al. https://doi.org/10.1016/j.atmosres.2015.01.009
61. Shortwave absorption by wildfire smoke dominated by dark brown carbon R. Chakrabarty et al. https://doi.org/10.1038/s41561-023-01237-9
62. Absorbing aerosol radiative effects in the limb-scatter viewing geometry A. Wiacek et al. https://doi.org/10.5194/amt-6-2761-2013
63. Using Multi-Platform Satellite Observations to Study the Atmospheric Evolution of Brown Carbon in Siberian Biomass Burning Plumes I. Konovalov et al. https://doi.org/10.3390/rs14112625
64. Simultaneous retrievals of biomass burning aerosols and trace gases from the ultraviolet to near-infrared over northern Thailand during the 2019 pre-monsoon season U. Jeong et al. https://doi.org/10.5194/acp-22-11957-2022
65. Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index J. Sun et al. https://doi.org/10.5194/amt-11-5261-2018
66. Improvements to the OMI near-UV aerosol algorithm using A-train CALIOP and AIRS observations O. Torres et al. https://doi.org/10.5194/amt-6-3257-2013
67. Optimal Estimation-Based Algorithm to Retrieve Aerosol Optical Properties for GEMS Measurements over Asia M. Kim et al. https://doi.org/10.3390/rs10020162
68. Retrieving aerosol in a cloudy environment: aerosol product availability as a function of spatial resolution L. Remer et al. https://doi.org/10.5194/amt-5-1823-2012
69. Indirect estimation of absorption properties for fine aerosol particles using AATSR observations: a case study of wildfires in Russia in 2010 E. Rodríguez et al. https://doi.org/10.5194/amt-8-3075-2015
70. A Bayesian Framework to Quantify Uncertainty in Aerosol Optical Model Selection Applied to TROPOMI Measurements A. Kauppi et al. https://doi.org/10.3390/rs16111945
71. Aerosol direct radiative effect over clouds from a synergy of Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) reflectances M. de Graaf et al. https://doi.org/10.5194/amt-12-5119-2019
72. Air quality—climate forcing double whammy from domestic firelighters C. Lin et al. https://doi.org/10.1038/s41612-023-00427-x
73. Aerosol Shortwave Radiative Heating and Cooling by the 2017 and 2023 Chilean Wildfire Smoke Plumes M. de Graaf et al. https://doi.org/10.1029/2023GL104387
74. Estimation of black carbon emissions from Siberian fires using satellite observations of absorption and extinction optical depths I. Konovalov et al. https://doi.org/10.5194/acp-18-14889-2018
75. Estimating Spectral Effects of Absorbing Aerosols on Backscattered UV Radiation H. Jethva et al. https://doi.org/10.1029/2022EA002354
76. Comparisons of spectral aerosol single scattering albedo in Seoul, South Korea J. Mok et al. https://doi.org/10.5194/amt-11-2295-2018
77. Absorption properties of Mediterranean aerosols obtained from multi-year ground-based remote sensing observations M. Mallet et al. https://doi.org/10.5194/acp-13-9195-2013
78. Radiative characteristics of aerosol during extreme fire event over Siberia in summer 2012 T. Zhuravleva et al. https://doi.org/10.5194/amt-10-179-2017
79. Impacts of brown carbon from biomass burning on surface UV and ozone photochemistry in the Amazon Basin J. Mok et al. https://doi.org/10.1038/srep36940
80. Retrieving UV–Vis spectral single-scattering albedo of absorbing aerosols above clouds from synergy of ORACLES airborne and A-train sensors H. Jethva et al. https://doi.org/10.5194/amt-17-2335-2024
81. Reducing multisensor satellite monthly mean aerosol optical depth uncertainty: 1. Objective assessment of current AERONET locations J. Li et al. https://doi.org/10.1002/2016JD025469
82. Impacts of nonrefractory material on light absorption by aerosols emitted from biomass burning G. McMeeking et al. https://doi.org/10.1002/2014JD021750